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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Epilepsy research and treatment
Retraction
Abstract
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Label agreement
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,058 results · 1 filter active ·
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20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,058 works in the cohort · of 4,299,418page 54 of 82

Labels cover 5 of 4,058 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 4,058 of 4,058 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Serum Aspartic Acid as a Marker of Epilepsy
Gheyath AlGawwam, Asaad Adil Mnaather, Akram Al-Mahdawi, Hayder Adnan Fawzi, Laith G. Shareef
2019· article· en· Global Journal of Health Science· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Epilepsy and Cognition
Mary Lou Smith, Klajdi Puka
2016· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Journal Club
Ying Meng, Suganth Suppiah, Alireza Mansouri
2015· letter· en· Neurosurgery· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
aboutno affunlabeled
Source Localization of Normal Variants Seen on EEG
Shareena Rahman, Michael Burch, Prachi Parikh, Muhammad Zafar
2022· article· en· Journal of Clinical Neurophysiology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Epilepsia mioclónica juvenil
David J. Caldera, Jorge G. Burneo
2019· article· es· Revista de Neuro-Psiquiatría· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Perspectives on Work for People with Epilepsy
Erica K. Johnson
2015· book-chapter· en· Handbooks in health, work, and disability· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Closing Comments
Frank M. C. Besag
2001· article· en· Epilepsia· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
EEG in Epilepsy
Matthias Wilhelm Hoppe, Richard Wennberg, Peter Tai, Bernd Pohlmann‐Eden
2009· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Hyaline protoplasmic astrocytopathy in epilepsy
Shino Magaki, Mohammad Haeri, Linda J. Szymanski, Zesheng Chen, Ramiro Guedes Díaz, Christopher Kwesi O. Williams +12 more
2023· review· en· Neuropathology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Techniques in Epilepsy Surgery
John P. Girvin
2014· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About